Energy Utilization Prediction Techniques for Heterogeneous Mobile Robots: A Review

Krystian Góra (), Grzegorz Granosik () and Bartłomiej Cybulski
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Krystian Góra: Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland
Grzegorz Granosik: Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland
Bartłomiej Cybulski: Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland

Energies, 2024, vol. 17, issue 13, 1-17

Abstract: The growing significance of mobile robots in a full spectrum of areas of life creates new challenges and opportunities in robotics. One critical aspect to consider is energy utilization, as accurate prediction plays a vital role in a robot’s reliability and safety. Furthermore, precise prediction offers economic advantages, particularly for robotic fleets, where energy management systems can optimize maintenance costs and operational efficiency. The following review describes the state of the art of energy usage prediction for different types of mobile robots, highlights current trends, and analyses algorithms’ complexity (in implementation and execution), accuracy, and universality.

Keywords: mobile robotics; energy model; UAV; UGV (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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